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A method for test case generation by improved genetic algorithm based on static structure of procedure

机译:一种基于过程静态结构的改进遗传算法生成测试用例的方法

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Software testing is an important method to guarantee software quality. For the large-scale complex software, some mistakes or errors will easily be overlooked if programs are detected only by manual work. Therefore, a full-automatic system is necessary to rapidly cover all program logics through calculation to achieve input and output; besides, the system can assist to generate a large number of test cases before manual intervention, and can find out some software defects to assist manual detection to complete compiling work of all test cases. In this paper, a combination of the static structure of procedure and improved genetic algorithm is proposed in order to implement a fully automatic test case generating technology, enhance the generating efficiency and coverage rate of codes, and also can help to save a lot of time in manual testing.
机译:软件测试是保证软件质量的重要方法。对于大型复杂软件,如果仅通过手动操作检测程序,则某些错误或错误将很容易被忽略。因此,需要一个全自动系统来通过计算快速覆盖所有程序逻辑,以实现输入和输出。此外,该系统还可以在人工干预之前协助生成大量的测试用例,并且可以发现一些软件缺陷以帮助人工检测以完成所有测试用例的编译工作。为了实现全自动的测试用例生成技术,提高程序的生成效率和代码覆盖率,还可以节省大量时间,将程序的静态结构与改进的遗传算法相结合。在手动测试中。

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